Nguyen, Y, McLernon, DC and Ghogho, M (2016) Simplified Chirp Dictionary for Time-Frequency Signature Sparse Reconstruction of Radar Returns. In: 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa 2016). CoSeRa 2016, 19-22 Sep 2016, Aachen, Germany. Institute of Electrical and Electronics Engineers ISBN 978-1-5090-2920-4
Abstract
In sparse reconstruction of the Doppler frequency, the chirp atom approach has been shown to give a better performance than its sinusoidal counterpart. Nevertheless, the chirp atom has a relatively large dimension and so its computational load is much greater compared to the sinusoidal atom. In this paper, we propose a simplified chirp dictionary that obtains a satisfactory time-frequency signature approximation of the signals, but with a computational load comparable to the sinusoidal atom. We estimate the chirp rate through the DTFT of the bilinear product at a certain lag, and the initial frequency is solved in the time domain.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2016, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Sep 2016 12:27 |
Last Modified: | 01 Feb 2017 06:57 |
Published Version: | https://doi.org/10.1109/CoSeRa.2016.7745724 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/CoSeRa.2016.7745724 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104687 |